Image Retrieval

2012BCS025 Pratik Sakhare 2013BIT039 Sujata Regoti

2010BCS021 Abrar Soudagar

Image Retrieval

Tools

➔ GIFT

➔ FIRE

➔ LIRE

GNU Image Finding Tool

➔ The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS). It was developed Computer Vision Group of University of Geneva.

➔ It enables you to do Query By Pictorial Examples, giving you the opportunity to improve query results by relevance feedback. For processing your queries the program relies entirely on the content of the images, freeing you from the need to annotate all images before querying the collection.

➔ The GIFT is an open framework.

➔ The GIFT comes with a tool which lets you index whole directory trees containing images in one go.

GIFT..

➔ Communication protocol for client-server communication, MRML, is XML based and fully documented (http://www.mrml.net)

➔ The purpose of MRML is to separate the client part from the server part of CBIR systems and to create a standard method for communication between different CIBR systems.

➔ GIFT uses QBPE (Qurey By Pictorial Example) with user relevance feedback.

➔ Although GIFT is slow while indexing and testing phases. Early experiments showed results being processed and given in days, which was not acceptable hence PicSOM was formulated.

GIFT Framework

MRML : XML based communication protocol

Ref : http://slideplayer.com/slide/9340612/

(Multimedia Retrieval Markup Language)

Viper: GIFT plugin

Flexible Image Retrieval Engine

➔ It is a content-based image retrieval system developed by Thomas Deselaers with many other of Human Language Technology and Pattern Recognition Group of RWTH Aachen University.

➔ The main aim of FIRE is to investigate different image descriptors and evaluate their performance.

➔ FIRE was developed in C++ and Python and is meant to be easily extensible.

FIRE Online Fire Image Query : http://demo.iupr.org/cgi-bin/fire-parts.cgi

Search By Part

Lucene Image Retrieval ( LIRE )

➔ LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics.

➔ LIRE creates a Lucene index of image features for content based image retrieval (CBIR)

➔ Easy to use methods for searching the index and result browsing are provided.

➔ Try Web Demo : http://demo-itec.uni-klu.ac.at/liredemo/

LIRE Features OPEN SOURCE

POWERFUL PERFORMANCE

SOLR PLUGIN

RESEARCH DRIVEN

LIRE DEMO

It provides a simple GUI interface for

➔ Indexing photos

➔ Searching photos

➔ Browsing the created index

Query Firing

Query Image

References

GIFT : https://www.gnu.org/software/gift/

FIRE : http://thomas.deselaers.de/fire/

LIRE : http://www.lire-project.net/

Thank you